ArticleJournal of thoracic disease2019
Predicting spread through air spaces (STAS) preoperatively: can imaging help?
Article in Journal of thoracic disease, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed.
- Predicting STAS in peripheral stage I lung adenocarcinoma: the incremental value of CT-based tumor disappearance rate, with a focus on part-solid nodules.BMC medical imaging · 2026Article
- There Is More Than Meets the Eye With Ground Glass Nodules: Is It Too Early to Adopt Sublobar Resection as Standard of Care for Early Stage Lung Adenocarcinoma?Thoracic cancer · 2025Article
- Review
- Role of imaging in predicting tumor spread through airspaces (STAS): what are the next steps.Journal of thoracic disease · 2020Article
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Authors and funding
5 authors.
Funding
Abstract
PubMed holds no abstract for this paper.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.